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Industrial AI Research

Category: Science & Research  ·  Sub-category: math-stats  ·  Last updated:
type:integration
Industrial AI literature research with mandatory intake questions, venue-aware source prioritization, structured report outputs, and survey draft generation. Use when the user needs up-to-date research on predictive maintenance, intelligent scheduling, industrial anomaly detection, smart manufacturing, cyber-physical systems, edge AI for automation, or crossover robotics-for-industry topics. Also trigger for adjacent terms: "digital twin", "industrial IoT", "Industry 4.0", "manufacturing AI", "factory automation", "process optimization", or "survey draft" in industrial contexts.

About this skill (catalog notes)

Industrial AI Research includes explicit scope boundaries (an explicit 'when not to use' or 'out of scope' section); worked examples; pricing or quota commentary. At roughly 1,675 words the SKILL.md is on the longer end of the catalog distribution.

Source
copaper.ai
Original author
brycewang-stanford
Indexed lastmod
Catalog position
Science & Research · math-stats
Indexed related skills
10

How Industrial AI Research fits the catalog

Industrial AI Research sits in the Science & Research category under the math-stats sub-topic in the ClaudSkills catalog. There are 10 related skills indexed alongside it; comparing a few before installing usually reveals which fits your workflow best.

These notes are auto-generated from features detected in the SKILL.md file and from this catalog's structure — they aren't part of the source repository.

From the source SKILL.md

Run a lean, source-aware research workflow for Industrial AI.

What this skill does

Industrial AI Research is a community-contributed Claude Code skill in the math-stats sub-category. It ships as a SKILL.md file that Claude Code auto-discovers under ~/.claude/skills/industrial-ai-research/ and loads when your prompt matches the skill's trigger.

When to invoke it: Use when the user needs up-to-date research on predictive maintenance, intelligent scheduling, industrial anomaly detection, smart manufacturing, cyber-physical systems, edge AI for automation, or crossover robotics-for-industry topics. Also trigger for adjacent terms: "digital twin", "industrial IoT", "Industry 4.

Who uses this skill

The Industrial AI Research Claude Code skill is built for researchers, data scientists, academics, and analysts working with complex data and scientific literature. It's part of ClaudSkills (also referred to as Claude Skills or Claude Code Skills) — the open community-curated registry of 93,000+ SKILL.md files for Anthropic's Claude Code agent and the wider Claude ecosystem (Claude API, Claude Agent SDK).

How to install

Free

Manual install (2 steps)

mkdir -p ~/.claude/skills/industrial-ai-research
curl -L https://claudskills.com/skills/industrial-ai-research/SKILL.md \
  -o ~/.claude/skills/industrial-ai-research/SKILL.md

Or just download SKILL.md directly and drop it into ~/.claude/skills/industrial-ai-research/. Claude Code auto-discovers it on next session.

Skills live at ~/.claude/skills/industrial-ai-research/SKILL.md on macOS/Linux, or %USERPROFILE%\.claude\skills\industrial-ai-research\SKILL.md on Windows. See the full install guide for step-by-step instructions.

Telegram

📱 Install from your phone or desktop Telegram

Open @claudskills_bot on Telegram, tap Open Desktop App, and the desktop app installs this skill for you. Or share the bot link with a colleague — they get the same one-tap install. Learn more →

Pro

One-click install via the desktop app

The ClaudSkills desktop app installs any skill directly into ~/.claude/skills/ with one click — no terminal required. Pro starts at $9/mo or $149 lifetime.

Pro

For the full experience including quality scoring and one-click install features for each skill — upgrade to Pro.

Frequently asked questions

How do I install the Industrial AI Research Claude Code skill?
Install via the ClaudSkills desktop app (one click) or copy SKILL.md from the source repository to ~/.claude/skills/industrial-ai-research/SKILL.md and restart Claude Code. Both flows are detailed at claudskills.com/install/.
What does the Industrial AI Research skill do?
Industrial AI literature research with mandatory intake questions, venue-aware source prioritization, structured report outputs, and survey draft generation. Use when the user needs up-to-date research on predictive maintenance, intelligent scheduling, industrial anomaly detection, smart manufacturing, cyber-physical systems, edge AI for automation, or crossover robotics-for-industry topics. Also trigger for adjacent terms: "digital twin", "industrial IoT", "Industry 4.0", "manufacturing AI", "factory automation", "process optimization", or "survey draft" in industrial contexts.
Is this skill free to install?
Yes. ClaudSkills is an open registry — every skill keeps its source repository's license, and manual install via copy is free. ClaudSkills Pro ($9/mo, $79/yr, or $149 one-time) adds one-click install via the desktop app and a multi-signal Quality Score.
When should I use the Industrial AI Research skill?
Use Industrial AI Research when your Claude Code task falls under the Science & Research category — specifically in the math stats area. Claude Code auto-discovers installed skills and invokes the right one based on the task description, so you can also ask Claude directly (e.g. "use Industrial AI Research" or describe the task and let Claude pick). Browse related skills at /category/science/.
What is a Claude Code skill and how does the Industrial AI Research skill fit in?
A Claude Code skill is a SKILL.md file that lives under ~/.claude/skills/<name>/ and tells the Claude Code CLI agent how to perform a specific task (instructions, prompts, allowed tools). Skills are auto-discovered at session start. Industrial AI Research is one of 67,000+ skills indexed in the open ClaudSkills catalog, classified under the Science & Research category. Learn more at /learn/what-is-a-claude-skill/.

Attribution & license

Cite this skill

If you reference this skill in a blog post, paper, or documentation, you can cite it as:

APA
brycewang-stanford. (2026). Industrial AI Research [Claude Code skill]. ClaudSkills. https://claudskills.com/skills/industrial-ai-research/
BibTeX
@misc{industrial-ai-research-2026,
  author    = {brycewang-stanford},
  title     = {Industrial AI Research [Claude Code skill]},
  year      = {2026},
  publisher = {ClaudSkills},
  url       = {https://claudskills.com/skills/industrial-ai-research/}
}

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